What is AWS Clean Rooms?
It is a fully managed analytics service that helps customers collaborate with their partners without sharing or copying one another’s raw data. Companies can create a clean room in minutes, removing the need to build, manage, or maintain their own solutions or move data outside of AWS.
AWS Clean Rooms is a tool in the Cloud File Storage category of a tech stack.
AWS Clean Rooms Integrations
AWS Clean Rooms's Features
- Create your own clean room, add participants, and start collaborating in a few clicks
- Collaborate with hundreds of thousands of companies on AWS without sharing or revealing underlying data
- Protect underlying data with a broad set of privacy-enhancing controls for clean rooms
- Use flexible SQL analysis rules and privacy-enhancing ML to meet your business needs
AWS Clean Rooms Alternatives & Comparisons
What are some alternatives to AWS Clean Rooms?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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